低功耗无线动物神经信号采集模块设计

doi:10.16180/j.cnki.issn1007-7820.2019.01.004

Abstract

Abstract:

In this paper, RF radio frequency principle is used to design a pure analog low power wireless neural signal acquisition module suitable for small animals. Compared with digital-analog hybrid scheme, the pure analog implementation had the advantages of small size, low power consumption and simple structure. The acquisition module were divided into two parts including analog front-end amplification and wireless data transmission. With the use of low-power, low-noise instrumentation amplifier INA333 and OPA333 op amp analog front-end amplifier, a two-stage amplifier structure was formed and the power consumption and size of the circuit was reduced. The feedback enhancement effect achieved by adding a feedback inductor reduced the power consumption of the Colpitts oscillator. The FM modulation of the oscillator used the inter-polar capacitance of the transistor to form a pure analog wireless data transmission circuit, so that the acquisition module had the advantages of small size, low power consumption and wireless data transmission features. Circuit simulation and experimental test results both showed that the module could complete the wireless acquisition of animal neural signals and had a certain practicality.

Key words: neural signal, wireless recording, low power consumption, small-size, feedback enhancement effect, FM

CLC Number:

TN752

YUAN Xudong,ZHU Zhengfei. The Design of Low-power Wireless Neural Signal Acquisition Module[J].Electronic Science and Technology, 2019, 32(1): 16-20.

Figures/Tables 14

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Figure 11.

Table 1

Figure 12.

Figure 13.

References 17

[1]	Hawley E S, Hargreaves E L, Kubie J L , et al. Telemetry system for reliable recording of action potentials from freely moving rats[J]. Hippocampus, 2002,12(4):505-513. doi: 10.1002/hipo.10040 pmid: 12201635
[2]	Jürgens U, Hage S R . Telemetric recording of neuronal activity[J]. Methods, 2006,38(3):195-201. doi: 10.1016/j.ymeth.2005.08.005 pmid: 16497514
[3]	周寅 . 运动型脑机接口中神经元峰电位记录与检测的关键技术研究[D]. 杭州:浙江大学, 2017.
[4]	李晓艳 . 对自由活动大鼠中枢神经信号的采集与处理系统的研究[D]. 青岛:山东科技大学, 2007.
[5]	Texas Instrument . INA333 Micro-Power (50μA), Zero-Drift, Rail-to-Rail out instrumentation amplifier[M]. Dallas:Texas Instrument, 2008.
[6]	Texas Instrument . OPAx333 1.8-V, microPower, CMOS operational amplifiers, Zero-Drift series[M]. Dallas: Texas Instrument, 2006.
[7]	Aparicio R, Hajimiri A . A noise-shifting differential Colpitts VCO[J]. IEEE Journal of Solid-State Circuits, 2002,37(12):1728-1736. doi: 10.1109/JSSC.2002.804354
[8]	Lai W C, Jang S L, Su S S, et al. Ultra low power Colpitts VCO with body-bias voltage controled technique [C]. Taipei:IEEE International Symposium on Radio-Frequency Integration Technology, 2016.
[9]	Ha K W, Ryu H, Lee J H , et al. Gm-boosted complementary current-reuse colpitts VCO with low power and low phase noise[J]. IEEE Microwave & Wireless Components Letters, 2014,24(6):418-420. doi: 10.1109/LMWC.2014.2313582
[10]	汶迎春, 赵素梅, 赵健 . 压控振荡器组件的改进设计[J]. 电子科技, 2012,25(8):20-22. doi: 10.3969/j.issn.1007-7820.2012.08.007
	Wen Yingchun, Zhao Sumei, Zhao Jian . Improved design of voltage controlled oscillator components[J]. Electronic Science and Technology, 2012,25(8):20-22. doi: 10.3969/j.issn.1007-7820.2012.08.007
[11]	Hou J A, Wang Y H . A 7.9 GHz low-power PMOS colpitts VCO using the gate inductive feedback[J]. IEEE Microwave and Wireless Components Letters, 2010,20(4):223-225. doi: 10.1109/LMWC.2010.2042559
[12]	Rottava R E, Camara S J C,Rangeld S F ,et al. Ultra-low-power,ultra-low-voltage 2.12 GHz colpitts oscillator using inductive gate degeneration [C]. Pairs:New Circuits and Systems Conference, 2013.
[13]	Poddar A . Slow wave resonator based tunable multi-band multi-mode injection-locked oscillators[J].IEEE Transactions on Circuit, 2014(8):579-586.
[14]	Rottava R E, Camara S J C,Rangel d S F ,et al. Ultra-low-power 2.4 GHz Colpitts oscillator based on double feedback technique [C].Beijing:IEEE International Symposium on Circuits and Systems, 2013.
[15]	Chae M, Chen K, Liu W, et al. A 4-channel wearable wireless neural recording system [C].Seattle:IEEE International Symposium on Circuits and Systems,IEEE, 2008.
[16]	Farshchi S, Mody I, Judy J W. A TinyOS-based wireless neural interface [C].San Francisco:Conference Proceeding of IEEE Engineering in Medicine and Biology Society, 2004.
[17]	Mohseni P, Najafi K, Eliades S J , et al. Wireless multichannel biopotential recording using an integrated FM telemetry circuit[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2005,13(3):263-271. doi: 10.1109/TNSRE.2005.853625 pmid: 16200750

参数	文献[15]	文献[16]	文献[17]	本文
供电电压/V	±1.5	3	±1.5	3
放大倍数/dB	70	46	43.7	58
放大宽带/Hz	0.1~20 k	1~240	0.1~10 k	0.5~10 k
射频频率/MHz	433	916	96	433
模块功耗/mW	7	75	0.77	0.75
模块尺寸/mm²	39×44	26×26	5×12	20×25

The Design of Low-power Wireless Neural Signal Acquisition Module

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 17

Related Articles 15

Metrics

Comments

Recommended 10

[1]	LIU Hanzi,SHI Yu,ZHANG Wei. Design of a Comb Generator Based on PLL [J]. Electronic Science and Technology, 2020, 33(3): 21-25.
[2]	SHAO Yu'e,WANG Jianlai,ZHOU Shenghua,LIU Hongwei,ZHANG Yuehong. Radar Pulse Compression Method Based on LASSO [J]. Electronic Science and Technology, 2020, 33(11): 7-10.
[3]	CHEN Yuan,CAI Wenyu,HU Biwei. Underwater Sensor Node Design of Micro Underwater Acoustic Sensor Network [J]. Electronic Science and Technology, 2019, 32(7): 71-75.
[4]	KUANG Xiaofei,TAO Qi,FAN Fuxuan. The Design and Simulation of Biomedical Signal Pre-amplifier [J]. , 2018, 31(4): 5-.
[5]	MA Yuchao. Application of Markov Model in Functional Safety Temperature Transmitters [J]. , 2016, 29(3): 22-.
[6]	PANG Yuefeng, NIU Panfeng, WU Xiaodong. Influence of Intermediate Frequency Bandwidth Setting on Noncoherent Demodulation Performance of FM Telemetry System [J]. , 2016, 29(10): 22-.
[7]	SU Min, YUAN Qi, WANG Wei, ZHAN Ke, WANG Xianying, ZHU Yuankun. Preparation and Domain Switching Under the External Field of BNTKBTBT Thin Films [J]. , 2016, 29(10): 136-.
[8]	JIAO Longfei,MO Zijun. Realization of Distributed Jammer Based on FPGA [J]. , 2015, 28(9): 89-.
[9]	LI Yanshuan,PAN Ligang. Research of Deception Jamming Technique Based on DRFM Method [J]. , 2015, 28(6): 158-.
[10]	WANG Wenlong,HONG Shuliang. A Novel Capacitor Trimming RC Oscillator [J]. , 2015, 28(5): 68-.
[11]	LI Yongsong,L Hao,LIU Yujiao. Research on Noise FM Jamming and its Realization on FPGA [J]. , 2015, 28(4): 139-.
[12]	QU Wenyue. Parameters Estimate and Separation of Multi-component LFM Signal in QPF [J]. , 2014, 27(8): 94-.
[13]	ZHANG Qinyang,YANG Chan,LUO Qingfeng,GUAN Jinzhou. A PWM/PFM AC-DC Switching Power Supply with Digital Control [J]. , 2014, 27(8): 135-.
[14]	WAN Baoyue. Intelligent Pyroelectric Detectors Based on MSP430 [J]. , 2014, 27(3): 31-.
[15]	LIU Wen,LIU Si,TANG Lijun,HE Huiyong,SUN Chunguang,WEN Yiqing,ZEN Pengfei. Application of ZOOM-FFT in the Distance Measurement System for Train Docking [J]. , 2014, 27(12): 9-.